论文标题

带有轨道残差的爱丽丝TPC的空间校准

Space-point calibration of the ALICE TPC with track residuals

论文作者

Schmidt, Marten Ole

论文摘要

在即将到来的LHC运行3中,从2021年开始,Alice实验的升级时间投影室(TPC)将以连续读数模式记录最小偏差PB-PB碰撞,以高达50 kHz的相互作用速率记录。这对应于检测器中电子漂移时间期间通常4-5重叠的碰撞。尽管仔细调整了新的四颗宝石基于GEM的读数室,该读取室满足了1%以下的离子回流的设计需求,但这些条件将导致几厘米的空间充电扭曲,这些扭曲会及时波动。它们将通过校准程序进行校正,该校准过程分别使用内部的内部跟踪系统(ITS)的信息,分别位于TPC周围的内部内部跟踪系统(ITS)以及飞行辐射检测器(TRD)和飞行时间(TOF)。通过使用这样的过程,可以恢复几百微米的TPC的固有轨道分辨率。 提出了基于Kalman过滤器的TRD所需的在线跟踪算法。该过程与使用GPU的TRD空间点相匹配。随后,这些全球轨道被改装而忽略了TPC信息。 TPC簇与改装轨道的插值的残差用于创建空间充电畸变的地图。地图的定期更新补偿了TPC条件的变化。该地图应用于数据的最终重建。将显示跟踪算法的第一个性能结果。

In the upcoming LHC Run 3, starting in 2021, the upgraded Time Projection Chamber (TPC) of the ALICE experiment will record minimum bias Pb-Pb collisions in a continuous readout mode at an interaction rate up to 50 kHz. This corresponds to typically 4-5 overlapping collisions during the electron drift time in the detector. Despite careful tuning of the new quadruple GEM-based readout chambers, which fulfill the design requirement of an ion backflow below 1%, these conditions will lead to space-charge distortions of several centimeters that fluctuate in time. They will be corrected via a calibration procedure that uses the information of the Inner Tracking System (ITS), which is located inside, and the Transition Radiation Detector (TRD) and Time-Of-Flight system (TOF), located around the TPC, respectively. By using such a procedure the intrinsic track resolution of the TPC of a few hundred micrometers can be restored. The required online tracking algorithm for the TRD, which is based on a Kalman filter, is presented. The procedure matches extrapolated ITS-TPC tracks to TRD space-points utilizing GPUs. Subsequently these global tracks are refitted neglecting the TPC information. The residuals of the TPC clusters to the interpolation of the refitted tracks are used to create a map of space-charge distortions. Regular updates of the map compensate for changes in the TPC conditions. The map is applied in the final reconstruction of the data. First performance results of the tracking algorithm will be shown.

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